Forward Deployed Engineer Manager

Accenture

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
ChicagoMilwaukeeDallasColumbusKirklandCincinnatiNew YorkClevelandOklahoma CityAustinAlbanySt. PeteHartfordPittsburghSt. LouisMiamiSacramentoRaleighMinneapolisMountain ViewScottsdaleMorristownSan FranciscoDenverBostonPhiladelphiaDes MoinesOverland ParkLos AngelesCharlotteWalnut CreekCarmelSeattleHoustonArlingtonAtlantaRedmondBentonvilleNashvilleDetroitSan Diego
Salary
$94,400–$316,300 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $212k
This role $205k
$68k most similar roles pay here $343k

This role pays less than 55% of similar roles. Most pay $177,812–$246,150 — the shaded band above. At the midpoint, this role pays about $205k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 215 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 169 roles with salary data.

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At a glance

TL;DR · Forward Deployed Engineer Manager

Forward Deployed Engineer Manager The Forward Deployed Engineer Manager joins a team focused on developing agent-powered workflows for enterprise clients. In this role, you will work directly with clients and internal teams to translate ambiguous business needs into production-grade AI solutions. You will be responsible for designing, prototyping, and deploying end-to-end AI systems, including agents, copilots, and automations. Your daily work involves integrating LLMs from platforms like OpenAI, Anthropic, and Google Gemini with enterprise systems such as SAP, ServiceNow, and Salesforce. To succeed, you must possess expertise in Python, TypeScript/JavaScript, or Java, along with experience in workflow orchestration and API integration. You will serve as a technical bridge to ensure solutions are secure and scalable while navigating complex requirements to move projects from initial experimentation into operational reality within large enterprise environments.

What you'll do

  • Translate ambiguous business requirements into production-grade AI workflows and technical designs.
  • Design and implement end-to-end solutions integrating LLMs with enterprise platforms like SAP and Salesforce.
  • Prototype, iterate, and deploy AI-enabled agents, copilots, and automations into live operational environments.
  • Act as the technical bridge between product, engineering, data, and business stakeholders.
  • Architect prompt designs, API integrations, and workflow orchestrations for scalable AI systems.
  • Manage the full lifecycle of solutions from initial concept through to production and iteration.
  • Provide technical leadership on responsible, secure, and governed AI deployment practices.

What we're looking for

  • 5+ years of software engineering experience in Python, TypeScript/JavaScript, or Java.
  • 5+ years of experience integrating APIs and building distributed, production systems.
  • 2+ years of experience with modern AI/ML platforms such as OpenAI, Anthropic, or similar providers.
  • 5+ years of experience translating high-level business needs into technical designs in large enterprises or professional services firms.
  • 5+ years of experience with enterprise platforms including ServiceNow, Salesforce, SAP, and data platforms.
  • 5+ years of experience in client-facing communication, leading technical discussions, and workshops under ambiguity.
  • Bachelor's degree in Computer Science, Engineering, or equivalent (minimum 12 years work experience).
  • Must have an Associate’s Degree with at least 6 years of work experience if a Bachelor's is not held.

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